Full-Time · Senior Manager: Data, AI & Performance Analytics

Senior Manager: Data, AI & Performance Analytics in Swindon

Tandem Talent Tandem Talent Swindon
Full-Time Home office (partial) Performance AnalyticseCommerce StrategyData Science Leadership
Employment
Full-Time
Remote
Home office (partial)
Salary
65000 £ / year

About the role

This is a hybrid role with a minimum of three days in the office per week.

At Cotswold Outdoor Group, the outdoors isn’t just where we work, it’s who we are.

Every day, our head office teams play a vital role in helping people get outside, explore more, and experience the world around them.

We’re looking for a Senior Manager, Data, AI & Performance Analytics to join us on that journey.

This role is about more than just day-to-day responsibilities, it’s about shaping how we inspire our customers, support our stores, and grow our community of adventurers.

We’ve officially made the move to our new office in the heart of Swindon and couldn’t be more excited.

Our brand-new sustainable office at 1 Newbridge Square puts us right next to the train station and the new bus boulevard, making it easier than ever to connect.

This move marks an exciting new chapter in our journey, and our new space has been designed with the future in mind – supporting collaboration, wellbeing, and our commitment to working more sustainably.

About Us

We believe life’s better when it’s lived outdoors. From hiking and wild swimming to simply stepping away from the screen, nature helps us feel alive.

At our head office, every role helps make those adventures possible.

Whether it’s shaping our systems, supporting our teams or driving key initiatives, you’ll play a vital part in helping people get outside and explore more.

We’re part of the Cotswold Outdoor Group, including Runners Need and Snow + Rock, offering trusted brands, expert advice, and a commitment to protecting the planet.

Whether it’s your first step or your next move, you’ll find opportunities to learn, grow, and be part of something bigger.

What You’ll Be Doing

As Senior Manager, Data, AI & Performance Analytics, you will

  • Define and deliver the Customer & Digital Data, AI and Analytics strategy, building a high-performing capability to drive e Commerce growth and commercial performance.
  • Act as a senior leader across Data, Insight, AI and Automation, shaping organisational maturity and driving innovation through scalable, data-led solutions.
  • Lead, develop and inspire a high-performing analytics and data science team, fostering a culture of experimentation, excellence and continuous improvement.
  • Drive data literacy across the organisation, enabling better decision-making through insight, experimentation, and effective use of AI and analytics tools.
  • Own digital measurement frameworks, forecasting, attribution, and performance modelling to connect investment with commercial outcomes, revenue and ROI.
  • Enable CRO and optimisation by providing data foundations, experimentation measurement, insight generation, and actionable recommendations to improve customer experience and performance.
  • Lead the Data Science and AI roadmap, delivering automation, predictive analytics, and scalable insight capabilities while partnering with technology teams on future-ready data architecture.
  • Deliver clear, commercially focused insight, reporting, and dashboards, embedding best practices in governance, tracking, and analytics to support real-time decision-making and maximise impact.

We’re Looking For a Data Manager Who Has

  • Strong knowledge of performance analytics and experimentation within e Commerce and digital environments.
  • Experience developing measurement frameworks, attribution models, forecasting, and commercial performance analysis.
  • Knowledge of AI, machine learning, and automation applications across customer, digital, and commercial contexts.
  • Experience with data platforms, ETL processes, APIs, and cloud environments (e. g. GCP).
  • Expertise in digital analytics platforms such as Google Analytics, Adobe Analytics, and Content Square.
  • Experience with BI and visualisation tools such as Power BI, Looker Studio, or Micro Strategy.
  • Knowledge of Tag Management Systems including GTM, Adobe Launch, or Tealium, along with experimentation platforms and optimisation programmes.
  • Proven experience leading analytics, data science, or digital insight teams.
  • What You’ll Get From Us

Joining our team means more than just getting paid a salary, it’s about being part of a workplace that values you, your growth and your wellbeing.

  • As Senior Manager, Data, AI & Performance Analytics, You’ll Enjoy
  • Starting salary of £60000 - £70000 with a yearly bonus of up to £6,885
  • Hybrid working options to support your work-life balance
  • 33 days holiday allowing you to recharge and explore the outdoors
  • Holiday Buying Scheme - contract dependent
  • Electric Vehicle Salary Sacrifice scheme - dependent on meeting eligibility
  • Volunteer day with a charity of your choice
  • Private medical insurance, life assurance and critical illness cover
  • Staff discounts of 40-60% across our full range of outdoor brands
  • Savings on everyday essentials including groceries, travel, fitness, and entertainment through our perks hub
  • Everyone’s welcome

We welcome applications from all genders, backgrounds, and experiences. Diverse teams make us stronger, helping us learn, grow, and create a place where everyone belongs.

We want to hear your voice so encourage you to write your own application and use AI tools sparingly.

We’re looking for honesty, authenticity, and a real sense of who you are.

Applications that feel generic or AI-generated may not stand out.

This advert may close early if we receive a high number of applications, so don’t wait too long to apply

Your tasks

Lead data-driven strategies to enhance eCommerce growth and customer experience.

Your profile

Strong background in performance analytics, AI, and team leadership required.

What's also included

Enjoy a competitive salary, hybrid work, generous holiday, and staff discounts.

Tech stack & ways of working

Performance Analytics eCommerce Strategy Data Science Leadership AI and Machine Learning Knowledge Digital Measurement Frameworks Attribution Models Forecasting Data Platforms Experience ETL Processes APIs Knowledge Cloud Environments (e.g. GCP) Digital Analytics Platforms (e.g. Google Analytics, Adobe Analytics) BI and Visualisation Tools (e.g. Power BI, Looker Studio) Tag Management Systems (e.g. GTM, Adobe Launch) Experimentation and Optimisation Programmes

Senior Manager: Data, AI & Performance Analytics in Swindon employer: Tandem Talent

Tandem Talent is an exceptional employer that prioritises employee growth and development, offering a dynamic work culture where teamwork and customer satisfaction are at the forefront. Located in Leeds, our retail environment fosters creativity and innovation, providing competitive salaries, bonuses, and a range of benefits that ensure our staff feel valued and motivated to excel in their roles.

View Tandem Talent profile

Contact Details:
Tandem Talent Recruitment Team

Your perspectives

Shape the future of data and AI in a vibrant, sustainable office environment.

StudySmarter Expert Advice

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Apply Directly through Our Website

When you find a suitable opening like Senior Manager: Data, AI & Performance Analytics at Tandem Talent, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

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Show Off Your Projects

In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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How to prepare for a job interview at Tandem Talent

Brush Up on Your Statistics

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Get Comfortable with Python and R

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Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.

Locations

  • Swindon

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